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Dataset . 2022
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ClinSpEn-CT (Clinical Terms) Test + Background Set

Authors: Lima, Salvador; Johan, Darryl; Krallinger, Martin;

ClinSpEn-CT (Clinical Terms) Test + Background Set

Abstract

This repository contains the test and background data for the ClinSpEn-Clinical Terms sub-track. ClinSpEn is part of the Biomedical WMT 2022 shared task, having the aim to promote the development and evaluation of machine translation systems adapted to the medical domain with three highly relevant sub-tracks: clinical cases, medical controlled vocabularies/ontologies, and clinical terms and entities extracted from medical content. The data is made up of a TSV file with two columns: term number and Spanish term. The direction of this sub-track is ES>EN. The used terms were directly extracted from medical literature and clinical records, with particular focus on diseases, symptoms, findings, procedures and professions. Related Links: - Data website with more information: https://temu.bsc.es/clinspen/ - WMT website (includes schedule, registration, ...): https://www.statmt.org/wmt22/ - CodaLab: https://codalab.lisn.upsaclay.fr/competitions/6696 ClinSpEn SAMPLE SETS: - ClinSpEn-CC Sample Set (Clinical Cases): https://doi.org/10.5281/zenodo.6497350 - ClinSpEn-CT Sample Set (Clinical Terms): https://doi.org/10.5281/zenodo.6497372 - ClinSpEn-OC Sample Set (Ontology Concepts): https://doi.org/10.5281/zenodo.6497388 ClinSpEn TEST SETS: - ClinSpEn-CC Test Set (Clinical Cases): https://doi.org/10.5281/zenodo.6948634 - ClinSpEn-CT Test Set (Clinical Terms): https://doi.org/10.5281/zenodo.6948669 - ClinSpEn-OC Test Set (Ontology Concepts): https://doi.org/10.5281/zenodo.6948679

Related Organizations
Keywords

wmt, nlp, clinical, machine translation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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